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Revisiting the Impact of Information Technology Investments on Productivity: An Empirical Investigation Using Multivariate Adaptive Regression Splines (MARS)

Author

Listed:
  • Myung Ko

    (The University of Texas at San Antonio, USA)

  • Jan G. Clark

    (The University of Texas at San Antonio, USA)

  • Daijin Ko

    (The University of Texas at San Antonio, USA)

Abstract

This article revisits the relationship between IT and productivity, and investigates the impact on information technology (IT) investments. Using the MARS techniques, we show that although IT Stock is the greatest predictor variable for productivity Ko, M.; Clark, J.G.; Ko, D.(Value Added), it is only significant as an interaction variable, combined with Non-IT Capital, Non-IT Labor, Industry, or Size.

Suggested Citation

  • Myung Ko & Jan G. Clark & Daijin Ko, 2008. "Revisiting the Impact of Information Technology Investments on Productivity: An Empirical Investigation Using Multivariate Adaptive Regression Splines (MARS)," Information Resources Management Journal (IRMJ), IGI Global, vol. 21(3), pages 1-23, July.
    • Handle: RePEc:igg:rmj000:v:21:y:2008:i:3:p:1-23
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    Cited by:

    1. Xu, Xiaobo & Zhang, Weiyong & Li, Ling, 2016. "The impact of technology type and life cycle on IT productivity variance: A contingency theoretical perspective," International Journal of Information Management, Elsevier, vol. 36(6), pages 1193-1204.
    2. Kweku-Muata Osei-Bryson, 2015. "A hybrid decision support framework for generating & selecting causal explanatory regression splines models for information systems research," Information Systems Frontiers, Springer, vol. 17(4), pages 845-856, August.

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